Command R vs GPT-5 mini
Compare Cohere and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Command R
GPT-5 mini
Cost Differences
GPT-5 mini costs more than Command R
Feature Comparison
| Feature | Command R | GPT-5 mini |
|---|---|---|
| Provider | Cohere | OpenAI |
| Input Price | $0.15/1M tokens | $0.25/1M tokens |
| Output Price | $0.60/1M tokens | $2.00/1M tokens |
| Context Window | 128,000 tokens | 500,000 tokens |
| Max Output | 4,096 tokens | 65,536 tokens |
| Category | efficient | efficient |
| Capabilities | textcode | textvisioncode |
| Release Date | 3/11/2024 | 8/7/2025 |
Command R vs GPT-5 mini: Which Should You Choose?
Choosing between Command R and GPT-5 mini depends on your priorities: cost efficiency, context length, or raw capability. Command R is the more affordable option at $0.15/1M input tokens — 40% cheaper than GPT-5 mini. Meanwhile, GPT-5 mini offers a significantly larger context window at 500,000 tokens vs 128,000 for Command R.
These models come from different providers — Cohere and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Cohere, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Command R would save you roughly $240.00/month compared to GPT-5 mini. For startups and indie developers, that difference can be significant.
Output costs matter too. Command R charges $0.60/1M output tokens vs $2.00 for GPT-5 mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Command R has the edge here at $0.60/1M output tokens.
Multimodal capabilities: GPT-5 mini supports vision (image inputs) while Command R is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Command R when:
- • Budget is a primary concern
- • You're already using Cohere's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose GPT-5 mini when:
- • You need a larger context window (500,000 tokens)
- • You need more capabilities (vision)
- • You need longer outputs (up to 65,536 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Command R (Cohere)
GPT-5 mini (OpenAI)
Start using Command R today
Sign Up for Cohere →Start using GPT-5 mini today
Sign Up for OpenAI →